An improved deep sequential model for context-aware POI recommendation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15540-5.pdf
Reference44 articles.
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2. Ali A, Zhu Y, Zakarya M (2021) A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing. Multimed Tools Appl 80(20):31401–31433. https://doi.org/10.1007/s11042-020-10486-4
3. Ali A, Zhu Y, Zakarya M (2021) Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks. Inform Sci 577:852–870. https://doi.org/10.1016/j.ins.2021.08.042
4. Ali A, Zhu Y, Zakarya M (2022) Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction. Neural Networks 145:233–247. https://doi.org/10.1016/j.neunet.2021.10.021
5. Balázs H, Alexandros K, Linas B, Domonkos T (2015) Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939
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